Staff Data Engineer
Sonar•Geneva, IL
•Hybrid
About The Position
Sonar is seeking a talented Data Engineer to join the Data & ML Platform team. The goal is to make data-driven decisions to support Sonar's products and drive them to become the undisputed world-leading code remediation solution. The Data Engineer will be responsible for designing and developing the data platform to support functional domains in handling their data and empowering them towards data ownership.
Requirements
- Solid software engineering experience, focusing on developing data engineering pipelines and storage in the cloud.
- Exposure to big data architecture essentials, streaming, ETL batches, data store administration.
- Developer mindset working on data, motivated by both technical and functional aspects of services.
- Friendly, enthusiastic, and organized team player.
- Actively share knowledge and give and receive feedback to improve the team and yourself.
- Strong experience building end-to-end ETLT, ETL, or ELT pipelines with batch or streaming technologies in Python.
- Strong experience with the AWS platform including, but not limited to, services such as: Glue, RedShift, CloudFormation, S3, CloudWatch, Lambdas, etc… or equivalents.
- Good knowledge of data engineering concepts (Data Lake, Data Warehouse, etc.).
- Experience with Infrastructure as code tools (CDK, CloudFormation, Terraform).
- Fluent in English, both written and spoken.
Nice To Haves
- Experience working with Databricks as a Platform or building data pipelines with PySpark.
Responsibilities
- Design and implement data storage, transformation, and load capabilities of our pipelines.
- Continuously enhance the data platform.
- Propose, implement and manage data handling services according to stakeholders needs (Product Managers, Marketing, Sales, engineering teams, ...).
- Establish top-class end-to-end pipelines including data cleaning and modelling.
- Develop and deploy connectors to data sources of interest.
- Maintain evergreen data flow documentation across systems.
- Collaborate on Data Governance with other stakeholders/domains.
- Work with the security function to ensure we adhere to expected security standards.
- Collaborate with the incident manager to bring your expertise when asked and own implementation of recommendations from post-mortems.
Benefits
- Flexible work policy that includes remote and in-office hybrid work
- Growth mindset with opportunities for continuous education
- Commitment to Diversity, Equity, and Inclusion
- Relocation support for the right person
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
